Articles: human.
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The gut microbiome plays critical roles in human health and disease. Recent studies suggest it may also be associated with chronic pain and postoperative pain outcomes. In animal models, the composition of the gut microbiome changes after general anesthesia and affects the host response to medications, including anesthetics and opioids. ⋯ Additionally, the composition of the gut microbiome has been associated with pain conditions including visceral pain, nociplastic pain, complex regional pain syndrome, and headaches, partly through altered concentration of circulating bacterial-derived metabolites. Furthermore, animal studies demonstrate the critical role of the gut microbiome in neuropathic pain via immunomodulatory mechanisms. This article reviews basic concepts of the human gut microbiome and its interactions with the host and provide a comprehensive overview of the evidence linking the gut microbiome to anesthesiology, critical care, and pain medicine.
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The lancet oncology · Jul 2022
Meta AnalysisAccuracy and effectiveness of HPV mRNA testing in cervical cancer screening: a systematic review and meta-analysis.
Cervical cancer screening tests that identify DNA of the main causal agent, high-risk human papillomavirus (HPV) types, are more protective than cervical cytology. We systematically reviewed the literature to assess whether tests targeting high-risk HPV (hrHPV) mRNA are as accurate and effective as HPV DNA-based screening tests. ⋯ Horizon 2020 Framework Programme for Research and Innovation of the European Commission, through the RISCC Network, WHO, Haute Autorité de la Santé, European Society of Gynaecological Oncology, and the National Institute of Public Health and the Environment.
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Meta Analysis
Clinicopathological and prognostic role of ROC1 in neoplasms: A PRISMA-compliant systematic review and meta-analysis.
Regulator of cullins 1 (ROC1) is frequently overexpressed in multiple tumors, and many pieces of research demonstrate that ROC1 is associated with the prognosis and development of a diversity of neoplasms and it is able to serve as a promising prognostic biomarker. Here we performed this meta-analysis to evaluate the prognostic and clinicopathological significance of ROC1 in patients suffering from cancer. ⋯ Elevated ROC1 expression predicted worse prognosis and advanced pathological parameters in various cancers. ROC1 was a significant prognostic biomarker for poor survival in human cancers.
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Severe acute respiratory syndrome (SARS) caused by a novel coronavirus-2 (CoV-2), also known as COVID-19, has spread rapidly worldwide since it is recognized as a public health emergency and has now been declared a pandemic on March 11, 2020, by the World Health Organization. The genome of SARS-CoV-2 comprises a single-stranded positive-sense RNA approximately 27 to 30 kb in size. The virus is transmitted through droplets from humans to humans. ⋯ Recently, no specific and effective treatment has been recommended for patients infected with the SARS virus. However, several options can be investigated to control SARS-CoV-2 infection, including monoclonal antibodies, interferons, therapeutic vaccines, and molecular-based targeted drugs. In the current review, we focus on tyrosine kinase inhibitor management and their protective role in SARS-CoV-2 patients with chronic myelogenous leukemia.
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Semin Respir Crit Care Med · Jun 2022
ReviewModeling Mechanical Ventilation In Silico-Potential and Pitfalls.
Computer simulation offers a fresh approach to traditional medical research that is particularly well suited to investigating issues related to mechanical ventilation. Patients receiving mechanical ventilation are routinely monitored in great detail, providing extensive high-quality data-streams for model design and configuration. Models based on such data can incorporate very complex system dynamics that can be validated against patient responses for use as investigational surrogates. ⋯ Here, we review progress on the mathematical modeling and computer simulation of human anatomy, physiology, and pathophysiology in the context of mechanical ventilation, with an emphasis on the clinical applications of this approach in various disease states. We present new results highlighting the link between model complexity and predictive capability, using data on the responses of individual patients with acute respiratory distress syndrome to changes in multiple ventilator settings. The current limitations and potential of in silico modeling are discussed from a clinical perspective, and future challenges and research directions highlighted.